What are the responsibilities and job description for the Data Migration Development Lead _ AY position at Central Business Solutions?
We are seeking a Data Migration Development Lead to drive the design, development, and delivery of large-scale data migration solutions using the AWS platform. This role combines hands-on technical leadership with responsibility for migration architecture, data engineering, quality assurance, and production cutover execution.
Key Responsibilities
- Lead end-to-end data migration design, development, and implementation.
- Build scalable ETL/ELT and migration frameworks using AWS services.
- Design data extraction, transformation, cleansing, validation, loading, and reconciliation processes.
- Develop high-volume migration pipelines using AWS Glue, S3, Lambda, Step Functions, DMS, Redshift, and RDS/Aurora.
- Implement automated data quality, audit, reconciliation, and monitoring controls.
- Support multiple migration cycles including testing, mock conversions, and production cutovers.
- Develop migration runbooks, restart/recovery procedures, and operational controls.
- Establish CI/CD pipelines and Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
- Lead code reviews, technical design reviews, and mentor migration developers.
- Collaborate with architects, business stakeholders, and application teams to ensure successful migration outcomes.
Required Qualifications
- 8 years of experience in data engineering, ETL/ELT, or data migration.
- 3 years of experience leading technical teams or migration workstreams.
- Strong expertise in AWS services, Python, SQL, and PySpark.
- Experience with data quality frameworks, reconciliation, and large-scale production migrations.
- Strong knowledge of relational databases, data modeling, and performance optimization.
- Experience in Agile delivery environments with strong troubleshooting and analytical skills.
Success Measures
- Accurate and complete data migration with minimal production defects.
- Successful cutover execution within planned timelines.
- Automated reconciliation, auditability, scalability, and reusability of migration frameworks.